![[Event 3x] Mount Samaraya](https://tr.rbxcdn.com/180DAY-742c9581b3c864b7cc361ef6cd013058/256/256/Image/Png/noFilter)
[Event 3x] Mount Samaraya
A Roblox experience owned by Nature Of Forest.
Sandbox & buildingIDnature explorationrelaxationscenic views
Description (written by the developer; not a statement by this register)
[🌄] Selamat Datang Di Gunung Samaraya [🌄] {✨} Tingkatkan Grafik anda untuk melihat pemandangan yang sangat indah {✨} Rasakan petualangan yang menantang dan menenangkan dan Jelajahi keindahan hutan tropis dan puncak gunung dengan detail grafik yang menakjubkan. Setiap sudut gunung samaraya siap mengajakmu untuk merasakan ketenangan yang luar biasa. {🎥} Rekam setiap langkah perjalananmu di jurnal yang akan menjadi kenangan tak terlupakan di setiap pendakian. {📰} Undang teman-temanmu untuk menjelajahi keindahan alam bersama sama . Ciptakan kenangan yang seru di puncak gunung. {🎵} dan memiliki musik yang tenang untuk anda dan teman anda yang suka mendengarkan lagu yang membuat mu menjadi rileks {⚙️} Bila menemukan bug segera laporkan pada pihak developernya/admin terima kasih.. ✨Tunggu apa lagi Ayo Rasakan Sensasi dan ketenangan mu di gunung samaraya!✨
Last updated by the developer 1 May 2026, 16:15 UTC.
Live players over time
Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 14 Aug 2026, 09:52 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.
Badge funnel
How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.